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Revision as of 14:02, 17 January 2020

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hs12340.11523-119I2','Hepatocyte%2c%20donor2.CNhs12349.11603-120I1','Hepatocyte%2c%20donor3.CNhs12626.11684-122I1','Hodgkin%27s%20lymphoma%20cell%20line%3aHD-Mar2.CNhs11715.10435-106E3','Intestinal%20epithelial%20cells%20%28polarized%29%2c%20donor1.CNhs10875.11246-116E4','Iris%20Pigment%20Epithelial%20Cells%2c%20donor1.CNhs12596.11530-119I9','Keratinocyte%20-%20epidermal%2c%20donor1.CNhs11064.11272-116H3','Keratinocyte%20-%20epidermal%2c%20donor2.CNhs11381.11349-117G8','Keratinocyte%20-%20epidermal%2c%20donor3.CNhs12031.11421-118F8','Keratinocyte%20-%20oral%2c%20donor1.CNhs10879.11251-116E9','Keratocytes%2c%20donor1.CNhs11337.11527-119I6','Keratocytes%2c%20donor2.CNhs12095.11607-120I5','Lens%20Epithelial%20Cells%2c%20donor1.CNhs12342.11529-119I8','Lens%20Epithelial%20Cells%2c%20donor2.CNhs12568.11609-120I7','Lens%20Epithelial%20Cells%2c%20donor3.CNhs12572.11690-122I7','Lymphatic%20Endothelial%20cells%20response%20to%20VEGFC%2c%2000hr00min%2c%20biol_rep1%20%28MM%20XIX%20-%201%29.CNhs11936.12260-130A1','Lymphatic%20Endothelial%20cells%20response%20to%20VEGFC%2c%2000hr00min%2c%20biol_rep2%20%28MM%20XIV%20-%201%29.CNhs13157.12382-131E6','Lymphatic%20Endothelial%20cells%20response%20to%20VEGFC%2c%2000hr00min%2c%20biol_rep3%20%28MM%20XXII%20-%201%20%29.CNhs13276.12504-133A2','MCF7%20breast%20cancer%20cell%20line%20response%20to%20EGF1%2c%2000hr00min%2c%20biol_rep2.CNhs12475.13097-140D1','MCF7%20breast%20cancer%20cell%20line%20response%20to%20EGF1%2c%2000hr00min%2c%20biol_rep3.CNhs12703.13163-141B4','Macrophage%20-%20monocyte%20derived%2c%20donor1.CNhs10861.11232-116C8','Macrophage%20-%20monocyte%20derived%2c%20donor2.CNhs11899.11313-117C8','Macrophage%20-%20monocyte%20derived%2c%20donor3.CNhs12003.11389-118C3','Mallassez-derived%20cells%2c%20donor1%20%28MZH3%29.CNhs12538.12142-128E9','Mallassez-derived%20cells%2c%20donor2.CNhs13550.11929-125I3','Mallassez-derived%20cells%2c%20donor3.CNhs13551.11930-125I4','Mammary%20Epithelial%20Cell%2c%20donor1.CNhs11077.11273-116H4','Mammary%20Epithelial%20Cell%2c%20donor2.CNhs11382.11350-117G9','Mammary%20Epithelial%20Cell%2c%20donor3.CNhs12032.11422-118F9','Mast%20cell%20-%20stimulated%2c%20donor1.CNhs11073.11487-119E2','Mast%20cell%2c%20donor1.CNhs12566.11563-120D6','Mast%20cell%2c%20donor2.CNhs12594.11565-120D8','Mast%20cell%2c%20donor3.CNhs12593.11566-120D9','Mast%20cell%2c%20donor4.CNhs12592.11567-120E1','Melanocyte%20-%20dark%2c%20donor3.CNhs12570.11663-122F7','Melanocyte%20-%20light%2c%20donor1.CNhs11303.11274-116H5','Melanocyte%20-%20light%2c%20donor2.CNhs11383.11351-117H1','Melanocyte%20-%20light%2c%20donor3.CNhs12033.11423-118G1','Melanocyte%2c%20donor1%20%28MC%2b1%29.CNhs12816.12641-134G4','Melanocyte%2c%20donor2%20%28MC%2b2%29.CNhs13156.12739-135I3','Melanocyte%2c%20donor3%20%28MC%2b3%29.CNhs13406.12837-137B2','Meningeal%20Cells%2c%20donor1.CNhs11320.11493-119E8','Meningeal%20Cells%2c%20donor2.CNhs12080.11573-120E7','Meningeal%20Cells%2c%20donor3.CNhs12731.11654-122E7','Mesenchymal%20Stem%20Cells%20-%20Wharton%27s%20Jelly%2c%20donor1.CNhs11057.11548-120B9','Mesenchymal%20Stem%20Cells%20-%20adipose%2c%20donor1.CNhs11345.11537-120A7','Mesenchymal%20Stem%20Cells%20-%20adipose%2c%20donor3.CNhs12922.11698-123A6','Mesenchymal%20Stem%20Cells%20-%20amniotic%20membrane%2c%20donor1.CNhs11349.11547-120B8','Mesenchymal%20Stem%20Cells%20-%20amniotic%20membrane%2c%20donor2.CNhs12104.11627-122B7','Mesenchymal%20Stem%20Cells%20-%20bone%20marrow%2c%20donor1.CNhs11344.11536-120A6','Mesenchymal%20Stem%20Cells%20-%20bone%20marrow%2c%20donor2.CNhs12100.11616-122A5','Mesenchymal%20Stem%20Cells%20-%20bone%20marrow%2c%20donor3.CNhs12126.11697-123A5','Mesenchymal%20Stem%20Cells%20-%20hepatic%2c%20donor2.CNhs12730.11618-122A7','Mesenchymal%20Stem%20Cells%20-%20umbilical%2c%20donor1.CNhs11347.11539-120A9','Mesenchymal%20Stem%20Cells%20-%20umbilical%2c%20donor3.CNhs12127.11700-123A8','Mesenchymal%20stem%20cells%20-%20adipose%2c%20donor0.CNhs10844.11217-116B2','Mesenchymal%20stem%20cells%20-%20hepatic%2c%20donor0.CNhs10845.11218-116B3','Mesenchymal%20stem%20cells%20-%20umbilical%2c%20donor0.CNhs12492.11214-116A8','Mesothelial%20Cells%2c%20donor1.CNhs10850.11247-116E5','Mesothelial%20Cells%2c%20donor2.CNhs12197.12156-128G5','Mesothelial%20Cells%2c%20donor3.CNhs12012.11402-118D7','Monocyte-derived%20macrophages%20response%20to%20udorn%20influenza%20infection%2c%2000hr00min%2c%20donor2%20%28150_120%3aUd_0h%29.CNhs13646.13317-143A5','Monocyte-derived%20macrophages%20response%20to%20udorn%20influenza%20infection%2c%2000hr00min%2c%20donor3%20%28536_119%3aUd_0h%29.CNhs13650.13323-143B2','Monocyte-derived%20macrophages%20response%20to%20udorn%20influenza%20infection%2c%2000hr00min%2c%20donor4%20%28227_121%3aUd_0h%29.CNhs13639.13311-142I8','Multipotent%20Cord%20Blood%20Unrestricted%20Somatic%20Stem%20Cells%2c%20donor1.CNhs11350.11549-120C1','Multipotent%20Cord%20Blood%20Unrestricted%20Somatic%20Stem%20Cells%2c%20donor2.CNhs12105.11629-122B9','Myoblast%20differentiation%20to%20myotubes%2c%20day00%2c%20c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var h_pval = "{{{novel_motifs_human_sample_pval}}}"; var h_pval = h_pval.split(","); var h_data = []; for(i1=0;i1'+decodeURIComponent(row[ 0 ])+''; } }, { title: "p-value", type: "numeric", width: "50pt" , render: function (data, type, row, meta) { var num = row[1]; return exp_converter(num,2,"e") ; } }], order: [[ 1, "asc" ]], }); var m_sample = 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var m_pval = "{{{novel_motifs_mouse_sample_pval}}}"; var m_pval = m_pval.split(","); var m_data = []; for(i1=0;i1'+decodeURIComponent(row[ 0 ])+''; } }, { title: "p-value", type: "numeric", width: "50pt", render: function (data, type, row, meta) { var num =row[1]; return exp_converter(num,2,"e") ; } } ], order: [[ 1, "asc" ]], }); // GREAT table for human start $('#great_table_human').DataTable({ dom: 'lfrtip', scrollY: "300px", scrollCollapse: true, pLength: 10, lengthMenu: [[5,10,-1], [5,10,"All"]], order: [[ 2, "asc" ]], columnDefs: [ { targets: 0, orderable: false }, { targets: 1, orderable: false }, { targets: 2, type: "html-number", width: "80pt" } ], columns: [ {title: ""}, {title: ""}, {title: "FF samples", render: function(data, type, row, meta) { var num =row[1]; return exp_converter(num,2,"e") ; } } ] }); // GREAT table for human end // GREAT table for mouse start $('#great_table_mouse').DataTable({ scrollY: "300px", scrollCollapse: true, pLength: 10, lengthMenu: [[5,10,-1], [5,10,"All"]], order: [[ 2, "asc" ]], columnDefs: [ { targets: 0, orderable: false }, { targets: 1, orderable: false }, { targets: 2, type: "html-number", width: "80pt" } ], columns: [ {title: ""}, {title: ""}, {title: "FF samples", render: function(data, type, row, meta) { var num =row[1]; return exp_converter(num,2,"e") ; } } ] }); // GREAT table for mouse end });

name:{{{name}}}

Association to promoter expression in human samples<b>Summary:</b>Significance of the correlation with CAGE expression, human <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data




Association to promoter expression in mouse samples <b>Summary:</b>Significance of the correlation with CAGE expression, mouse <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data




GREAT analysis results for human <b>Summary:</b>Genomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon<br><br>link to source dataset <br>data


GO IDGO Termp-value
{{{great_results_human}}}


GREAT analysis results for mouseGenomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon <br><br>link to source dataset <br>data

GO IDGO Termp-value
{{{great_results_mouse}}}